A spatially varying PSF model for Seidel aberrations and defocus

Contrary to common assumptions in the literature, the blur kernel corresponding to lens-effect blur has been demonstrated to be spatially-varying across the image plane. Existing models for the corresponding point spread function (PSF) are either parameterized and spatially-invariant, or spatially-varying but ad-hoc and discretelydefined. In this paper, we develop and present a novel, spatially-varying, parameterized PSF model that accounts for Seidel aberrations and defocus in an imaging system. We also demonstrate that the parameters of this model can easily be determined from a set of discretely-defined PSF observations, and that the model accurately describes the spatial variation of the PSF from a test camera.